wav2vec2-xls-r-1B-german

AndrewMcDowell/wav2vec2-xls-r-1B-german

wav2vec2-xls-r-1B-german is a automatic speech recognition model from AndrewMcDowell. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Mar 2, 2022
Updated: Mar 24, 2022
SHA: 6192b9cd

Datasets

mozilla-foundation/common_voice_8_0

Model card

From the Hugging Face model README

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - DE dataset. It achieves the following results on the evaluation set:

Loss: 0.1355
Wer: 0.1532

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 7.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 2.5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0826	0.07	1000	0.4637	0.4654
1.118	0.15	2000	0.2595	0.2687
1.1268	0.22	3000	0.2635	0.2661
1.0919	0.29	4000	0.2417	0.2566
1.1013	0.37	5000	0.2414	0.2567
1.0898	0.44	6000	0.2546	0.2731
1.0808	0.51	7000	0.2399	0.2535
1.0719	0.59	8000	0.2353	0.2528
1.0446	0.66	9000	0.2427	0.2545
1.0347	0.73	10000	0.2266	0.2402
1.0457	0.81	11000	0.2290	0.2448
1.0124	0.88	12000	0.2295	0.2448
1.025	0.95	13000	0.2138	0.2345
1.0107	1.03	14000	0.2108	0.2294
0.9758	1.1	15000	0.2019	0.2204
0.9547	1.17	16000	0.2000	0.2178
0.986	1.25	17000	0.2018	0.2200
0.9588	1.32	18000	0.1992	0.2138
0.9413	1.39	19000	0.1898	0.2049
0.9339	1.47	20000	0.1874	0.2056
0.9268	1.54	21000	0.1797	0.1976
0.9194	1.61	22000	0.1743	0.1905
0.8987	1.69	23000	0.1738	0.1932
0.8884	1.76	24000	0.1703	0.1873
0.8939	1.83	25000	0.1633	0.1831
0.8629	1.91	26000	0.1549	0.1750
0.8607	1.98	27000	0.1550	0.1738
0.8316	2.05	28000	0.1512	0.1709
0.8321	2.13	29000	0.1481	0.1657
0.825	2.2	30000	0.1446	0.1627
0.8115	2.27	31000	0.1396	0.1583
0.7959	2.35	32000	0.1389	0.1569
0.7835	2.42	33000	0.1362	0.1545
0.7959	2.49	34000	0.1355	0.1531

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.2.dev0
Tokenizers 0.11.0

Evaluation Commands

To evaluate on mozilla-foundation/common_voice_8_0 with split test

python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-1B-german --dataset mozilla-foundation/common_voice_8_0 --config de --split test --log_outputs

To evaluate on test dev data

python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-1B-german --dataset speech-recognition-community-v2/dev_data --config de --split validation --chunk_length_s 5.0 --stride_length_s 1.0

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Languages: de
Created: Mar 2, 2022
Updated: Mar 24, 2022